通用机器学习 · generalization论文趋势 2023–2026

通用机器学习：generalization

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 592 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

通用机器学习 · generalization论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202342363325136
202446403316135
202561336114169
20265838479152

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部通用机器学习 · generalization论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 592 篇，第 7 / 12 页

  1. NeurIPS 2025On the VC dimension of deep group convolutional neural networks
  2. NeurIPS 2025On Transferring Transferability: Towards a Theory for Size Generalization
  3. NeurIPS 2025Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification
  4. NeurIPS 2025Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
  5. NeurIPS 2025Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization
  6. NeurIPS 2025Rethinking Out-of-Distribution Detection and Generalization with Collective Behavior Dynamics
  7. NeurIPS 2025Revisiting Bi-Linear State Transitions in Recurrent Neural Networks
  8. NeurIPS 2025Scaling can lead to compositional generalization
  9. NeurIPS 2025Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation
  10. NeurIPS 2025Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon
  11. NeurIPS 2025Subsampled Ensemble Can Improve Generalization Tail Exponentially
  12. NeurIPS 2025The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control
  13. NeurIPS 2025Tight Generalization Bounds for Large-Margin Halfspaces
  14. NeurIPS 2025Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
  15. NeurIPS 2025Uncertainty Estimation by Flexible Evidential Deep Learning
  16. NeurIPS 2025Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
  17. NeurIPS 2025Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training
  18. NeurIPS 2025Weak-to-Strong Generalization under Distribution Shifts
  19. NeurIPS 2025What Can RL Bring to VLA Generalization? An Empirical Study
  20. NeurIPS 2025When Models Don’t Collapse: On the Consistency of Iterative MLE
  21. NeurIPS 2025Which Algorithms Have Tight Generalization Bounds?
  22. CVPR 2024A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
  23. CVPR 2024A2XP: Towards Private Domain Generalization
  24. CVPR 2024An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains
  25. CVPR 2024Any-Shift Prompting for Generalization over Distributions
  26. CVPR 2024Can Biases in ImageNet Models Explain Generalization?
  27. CVPR 2024CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization
  28. CVPR 2024DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
  29. CVPR 2024Disentangled Prompt Representation for Domain Generalization
  30. CVPR 2024Improving Generalization via Meta-Learning on Hard Samples
  31. CVPR 2024Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments
  32. CVPR 2024PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
  33. CVPR 2024Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization
  34. CVPR 2024Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning
  35. CVPR 2024Rethinking Multi-domain Generalization with A General Learning Objective
  36. CVPR 2024Rethinking the Evaluation Protocol of Domain Generalization
  37. CVPR 2024Single Domain Generalization for Crowd Counting
  38. ICLR 2024Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
  39. ICLR 2024Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
  40. ICLR 2024Benchmarking Algorithms for Federated Domain Generalization
  41. ICLR 2024Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
  42. ICLR 2024Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
  43. ICLR 2024Context is Environment
  44. ICLR 2024Continuous Invariance Learning
  45. ICLR 2024Deep Confident Steps to New Pockets: Strategies for Docking Generalization
  46. ICLR 2024Deep Neural Networks Tend To Extrapolate Predictably
  47. ICLR 2024Discovering modular solutions that generalize compositionally
  48. ICLR 2024Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
  49. ICLR 2024Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
  50. ICLR 2024Energy-guided Entropic Neural Optimal Transport

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常见问题

2023–2026 年四大会议一共有多少篇通用机器学习 · generalization论文？
共 592 篇，按年份分别是 2023 年 136 篇、2024 年 135 篇、2025 年 169 篇、2026 年 152 篇。
NeurIPS 2026 有多少篇通用机器学习 · generalization论文？
NeurIPS 2026 有 58 篇通用机器学习 · generalization论文，上一届是 61 篇。
ICLR 2026 有多少篇通用机器学习 · generalization论文？
ICLR 2026 有 38 篇通用机器学习 · generalization论文，上一届是 33 篇。
ICML 2026 有多少篇通用机器学习 · generalization论文？
ICML 2026 有 47 篇通用机器学习 · generalization论文，上一届是 61 篇。
CVPR 2026 有多少篇通用机器学习 · generalization论文？
CVPR 2026 有 9 篇通用机器学习 · generalization论文，上一届是 14 篇。
哪个会议的通用机器学习 · generalization论文最多？
NeurIPS，2023–2026 年共 207 篇。

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